Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout

Year

2019

Private Intelligence relation

DIRECT

Link

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=tZ78MoQAAAAJ&citation_for_view=tZ78MoQAAAAJ:Wp0gIr-vW9MC

Conference/Journal

International Journal of Approximate Reasoning

Author(s) from Distilled Foundation

Linh Ngo Van

How the work relates to Private Intelligence

A topic modeling algorithm on short & noisy text

Gained Experience